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DBMS > Apache IoTDB vs. IBM Cloudant vs. JaguarDB vs. SwayDB vs. Vertica

System Properties Comparison Apache IoTDB vs. IBM Cloudant vs. JaguarDB vs. SwayDB vs. Vertica

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonJaguarDB  Xexclude from comparisonSwayDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionA lightweight IoT native database management system deployable on the device and syncing the collected data with the cloud and integrated with Hadoop and SparkDatabase as a Service offering based on Apache CouchDBPerformant, highly scalable DBMS for AI and IoT applicationsAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelTime Series DBMSDocument storeKey-value storeKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#251  Overall
#20  Time Series DBMS
Score3.76
Rank#87  Overall
#15  Document stores
Score0.00
Rank#351  Overall
#57  Key-value stores
Score0.02
Rank#336  Overall
#53  Key-value stores
Score19.90
Rank#35  Overall
#21  Relational DBMS
Websiteiotdb.apache.orgwww.ibm.com/­cloud/­cloudantwww.datajaguar.comswaydb.iowww.vertica.com
Technical documentationcloud.ibm.com/­docs/­Cloudantwww.datajaguar.com/­support.phpwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperApache Software FoundationIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014DataJaguar, Inc.Simer PlahaVertica / Micro Focus infoprior to that Hewlett Packard
Initial release20182010201520182005
Current release2.9.4 September 2018Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL V3.0Open Source infoGNU Affero GPL V3.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenoyesnonono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangC++ infothe server part. Clients available in other languagesScala
Server operating systemsAll OS with a Java VM (>= 1.8)hostedLinuxLinux
Data schemeyesschema-freeyesschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesnoyesnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonononoyes
Secondary indexesyesyesyesnono infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLSQL-like query languagenoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsJDBCRESTful HTTP/JSON APIJDBC
ODBC
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Java
Kotlin
Scala
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptnonoyes
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationnoneMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesnonoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency with synchronizing with the cloudEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a document possiblenoAtomic execution of operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnoAccess rights for users can be defined per databaserights management via user accountsnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Apache IoTDBIBM CloudantJaguarDBSwayDBVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» more

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More resources
Apache IoTDBIBM CloudantJaguarDBSwayDBVertica infoVertica Analytics Platform
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